Recently, global technology leader IBM and world-renowned beauty company L'Oréal announced an exciting collaboration plan aimed at leveraging IBM's Generative AI technology to deeply analyze cosmetics formulation data, thereby promoting the use of sustainable raw materials. This innovative effort will develop a customized AI foundational model designed to significantly enhance L'Oréal's R&D team's performance and consumer satisfaction across various cosmetics. This partnership combines L'Oréal's extensive expertise in cosmetic science with IBM's advanced technology.

Recently, IBM announced the launch of version 3.1 of its open source language model Granite, which brings many important enhancements. The new version of the model has been redesigned with a denser architecture, capable of handling up to 128,000 tokens at once. This update signifies a substantial improvement in Granite's ability to process complex text and tasks. The Granite 3.1 model has been trained on datasets in 12 languages and 116 programming languages, processing a total of 12 trillion tokens.

IBM has officially launched its next-generation open-source large language model, Granite3.1, aiming to secure a leading position in the enterprise AI sector. This series of models features an extended context length of 128K, embedding models, built-in hallucination detection capabilities, and significant performance improvements. IBM claims that the Granite8B Instruct model outperforms its open-source competitors of similar scale, including Meta's Llama3.1, Qwen2.5, and Google's Gemma2.

Red Hat recently released the latest version 1.3 of its enterprise-grade Linux AI platform, RHEL AI, which adds support for IBM's Granite large language model (LLM) and previews support for the Intel Gaudi 3 accelerator. This update brings more opportunities for Red Hat's service partners and system integrators to help enterprises explore and integrate AI applications more effectively. Joe Fernandez, Vice President and General Manager of Red Hat's AI business unit, stated that

In the digital age, computer chips are getting smaller, but computing problems are becoming larger. With the continuous advancement of AI models, energy consumption and computing demands in data centers are growing exponentially. IBM's recent breakthrough in optical technology promises to transform this situation. Traditional data centers face two major technical bottlenecks: the limitations of copper wire transmission and electronic transmission speeds. Currently, most CPUs are largely idle, simply waiting for data packets to be transmitted. This represents a significant waste of computing resources. Image source note: Image generated by AI, image licensed.

Recently, OpenAI quietly released a statement on its official website, committing not to use its patents in an infringing manner. OpenAI stated that they would adhere to the principles of 'broad access' and 'collaboration', emphasizing that they would 'only use patents for defensive purposes'. However, this commitment has raised concerns among many experts. According to OpenAI's statement, their patents will be used defensively only when others do not threaten them, make claims, initiate lawsuits, or assist others in such activities. Their wording seems to suggest...

As the wave of artificial intelligence sweeps through the global technology industry, a veteran is preparing to take the stage again. IBM recently released a 28-page report titled 'Mainframes as the Backbone of Digital Transformation,' aiming to prove that this 60-year-old computing platform is still essential in the AI era. The report, authored by IBM's Institute for Business Value, not only showcases the current state of mainframes but also outlines their crucial role in AI-driven digital transformation. The report indicates that 79% of IT executives believe that mainframes are vital for achieving AI-driven innovation.

IBM and the United Nations Development Programme (UNDP) recently announced the launch of two groundbreaking free AI interaction models designed to predict global energy access and simulate energy equity. This collaboration marks a significant step forward in employing artificial intelligence technology to address global energy challenges. The newly introduced power access prediction model utilizes AI technology to analyze population, urbanization, infrastructure, and satellite data to provide power access predictions for 102 countries up to 2030. Meanwhile, the Clean Energy Equity Index, as a pioneering index, employs AI to gauge...

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...

As the 2024 US Open approaches, IBM and the USTA are launching a series of innovative AI features to provide an unprecedented digital experience for the tournament. Through the watsonx platform, these AI technologies offer more detailed post-match summaries, AI commentary, and a fully upgraded SlamTracker. AI-generated match reports cover every singles match, allowing viewers to receive detailed analyses just minutes after the match ends, including player performance, statistics, and highlights. IBM's AI commentary feature has also been enhanced.

IBM has launched an AI cybersecurity tool called IBM Consulting Cybersecurity Assistant, designed to accelerate and improve clients' identification, investigation, and response to critical security threats. This assistant is built on IBM's watsonx platform and can perform multiple tasks, such as handling work orders, running queries, extracting logs, and utilizing AI to analyze historical relevance and recommend action steps to enhance investigation efficiency. It is part of IBM's Threat Detection and Response services.

IBM opened the Granite13B LLM model for enterprise applications in May. Now, Armand Ruiz, the vice president of IBM's AI platform products, has publicly disclosed the full content of the comprehensive 6.48TB dataset used to train Granite13B.The dataset, after strict preprocessing, was reduced to 2.07TB, a reduction of 68%. Ruiz emphasizes that this step is crucial for ensuring a high-quality, unbiased, ethical, and legally compliant dataset to meet the needs of enterprise applications. The datas

NASA's Interagency Implementation and Advanced Concepts Team (IMPACT) is jointly developing INDUS, a suite of large language models (LLM) aimed at fields such as Earth science, biological and physical sciences, heliophysics, planetary science, and astrophysics, through signing Space Act agreements with private, non-federal partners. The model is trained using curated scientific literature from diverse data sources.

McDonald's has announced the termination of its AI drive-thru ordering partnership with IBM, and plans to remove the technology being tested in over 100 restaurants by July 26, 2024. Since partnering with IBM in 2021, McDonald's has been testing the system in these restaurants.